Pandas Profiling Report

Dataset statistics

Number of variables	32
Number of observations	1296675
Missing cells	1318
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	294.3 MiB
Average record size in memory	238.0 B

Variable types

DateTime	1
Numeric	16
Categorical	13
Unsupported	2

Alerts

`merchant` has a high cardinality: 693 distinct values	High cardinality
`street` has a high cardinality: 983 distinct values	High cardinality
`city` has a high cardinality: 894 distinct values	High cardinality
`state` has a high cardinality: 51 distinct values	High cardinality
`job` has a high cardinality: 494 distinct values	High cardinality
`trans_num` has a high cardinality: 1296675 distinct values	High cardinality
`name` has a high cardinality: 973 distinct values	High cardinality
`lat` is highly correlated with `merch_lat`	High correlation
`long` is highly correlated with `merch_long`	High correlation
`merch_lat` is highly correlated with `lat`	High correlation
`merch_long` is highly correlated with `long`	High correlation
`trans_month` is highly correlated with `trans_week`	High correlation
`trans_week` is highly correlated with `trans_month`	High correlation
`lat` is highly correlated with `merch_lat`	High correlation
`long` is highly correlated with `merch_long`	High correlation
`merch_lat` is highly correlated with `lat`	High correlation
`merch_long` is highly correlated with `long`	High correlation
`trans_month` is highly correlated with `trans_week`	High correlation
`trans_week` is highly correlated with `trans_month`	High correlation
`lat` is highly correlated with `merch_lat`	High correlation
`long` is highly correlated with `merch_long`	High correlation
`merch_lat` is highly correlated with `lat`	High correlation
`merch_long` is highly correlated with `long`	High correlation
`trans_month` is highly correlated with `trans_week`	High correlation
`trans_week` is highly correlated with `trans_month`	High correlation
`category` is highly correlated with `trans_hour` and 1 other fields	High correlation
`state` is highly correlated with `zip` and 7 other fields	High correlation
`zip` is highly correlated with `state` and 4 other fields	High correlation
`lat` is highly correlated with `state` and 4 other fields	High correlation
`long` is highly correlated with `state` and 4 other fields	High correlation
`city_pop` is highly correlated with `state`	High correlation
`merch_lat` is highly correlated with `state` and 4 other fields	High correlation
`merch_long` is highly correlated with `state` and 4 other fields	High correlation
`trans_year` is highly correlated with `trans_month` and 1 other fields	High correlation
`trans_month` is highly correlated with `trans_year` and 1 other fields	High correlation
`trans_week` is highly correlated with `trans_year` and 1 other fields	High correlation
`trans_hour` is highly correlated with `category`	High correlation
`age` is highly correlated with `state` and 1 other fields	High correlation
`amt_group` is highly correlated with `category`	High correlation
`age_group` is highly correlated with `state` and 1 other fields	High correlation
`amt` is highly skewed (γ1 = 42.27787379)	Skewed
`trans_num` is uniformly distributed	Uniform
`trans_num` has unique values	Unique
`distance` has unique values	Unique
`coords_ori` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`coords_merch` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`trans_hour` has 42502 (3.3%) zeros	Zeros
`trans_minute` has 21372 (1.6%) zeros	Zeros
`trans_dayofweek` has 254282 (19.6%) zeros	Zeros

Reproduction

Analysis started	2022-03-02 14:44:43.186655
Analysis finished	2022-03-02 14:48:23.428924
Duration	3 minutes and 40.24 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

trans_datetime
Date

Distinct	1274791
Distinct (%)	98.3%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

Minimum	2019-01-01 00:00:18
Maximum	2020-06-21 12:13:37

Histogram

Histogram with fixed size bins (bins=50)

cc_num
Real number (ℝ_≥0)

Distinct	983
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.171920421 × 10¹⁷

Minimum	6.041620718 × 10¹⁰
Maximum	4.992346398 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	6.041620718 × 10¹⁰
5-th percentile	6.304848798 × 10¹¹
Q1	1.800429465 × 10¹⁴
median	3.521417321 × 10¹⁵
Q3	4.642255475 × 10¹⁵
95-th percentile	4.497913966 × 10¹⁸
Maximum	4.992346398 × 10¹⁸
Range	4.992346338 × 10¹⁸
Interquartile range (IQR)	4.462212529 × 10¹⁵

Descriptive statistics

Standard deviation	1.308806447 × 10¹⁸
Coefficient of variation (CV)	3.1371798
Kurtosis	6.179949935
Mean	4.171920421 × 10¹⁷
Median Absolute Deviation (MAD)	3.076470873 × 10¹⁵
Skewness	2.851879006
Sum	-6.725541877 × 10¹⁸
Variance	1.712974316 × 10³⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.713652351 × 10¹¹	3123	0.2%
4.512828415 × 10¹⁸	3123	0.2%
3.672269902 × 10¹³	3119	0.2%
2.131124026 × 10¹⁴	3117	0.2%
3.54510934 × 10¹⁵	3113	0.2%
6.534628261 × 10¹⁵	3112	0.2%
6.011367958 × 10¹⁵	3110	0.2%
2.720433096 × 10¹⁵	3107	0.2%
6.011438889 × 10¹⁵	3106	0.2%
6.011109737 × 10¹⁵	3101	0.2%
Other values (973)	1265544	97.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6.041620718 × 10¹⁰	1518	0.1%
6.042292873 × 10¹⁰	1531	0.1%
6.042309813 × 10¹⁰	510	< 0.1%
6.042785159 × 10¹⁰	528	< 0.1%
6.048700208 × 10¹⁰	496	< 0.1%
6.04905963 × 10¹⁰	1010	0.1%
6.049559311 × 10¹⁰	518	< 0.1%
5.018029536 × 10¹¹	1559	0.1%
5.018181333 × 10¹¹	8	< 0.1%
5.018282048 × 10¹¹	515	< 0.1%

Value	Count	Frequency (%)
4.992346398 × 10¹⁸	2059	0.2%
4.989847571 × 10¹⁸	1007	0.1%
4.980323468 × 10¹⁸	532	< 0.1%
4.973530368 × 10¹⁸	1040	0.1%
4.958589672 × 10¹⁸	1476	0.1%
4.95682899 × 10¹⁸	2566	0.2%
4.911818931 × 10¹⁸	9	< 0.1%
4.906628656 × 10¹⁸	2584	0.2%
4.897067971 × 10¹⁸	1038	0.1%
4.890424427 × 10¹⁸	1496	0.1%

merchant
Categorical

HIGH CARDINALITY

Distinct	693
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

fraud_Kilback_LLC	4403
fraud_Cormier_LLC	3649
fraud_Schumm_PLC	3634
fraud_Kuhn_LLC	3510
fraud_Boyer_PLC	3493
Other values (688)	1277986

Length

Max length	43
Median length	20
Mean length	23.13259683
Min length	13

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	fraud_Rippin,_Kub_and_Mann
2nd row	fraud_Heller,_Gutmann_and_Zieme
3rd row	fraud_Lind-Buckridge
4th row	fraud_Kutch,_Hermiston_and_Farrell
5th row	fraud_Keeling-Crist

Common Values

Value	Count	Frequency (%)
fraud_Kilback_LLC	4403	0.3%
fraud_Cormier_LLC	3649	0.3%
fraud_Schumm_PLC	3634	0.3%
fraud_Kuhn_LLC	3510	0.3%
fraud_Boyer_PLC	3493	0.3%
fraud_Dickinson_Ltd	3434	0.3%
fraud_Cummerata-Jones	2736	0.2%
fraud_Kutch_LLC	2734	0.2%
fraud_Olson,_Becker_and_Koch	2723	0.2%
fraud_Stroman,_Hudson_and_Erdman	2721	0.2%
Other values (683)	1263638	97.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
fraud_kilback_llc	4403	0.3%
fraud_cormier_llc	3649	0.3%
fraud_schumm_plc	3634	0.3%
fraud_kuhn_llc	3510	0.3%
fraud_boyer_plc	3493	0.3%
fraud_dickinson_ltd	3434	0.3%
fraud_cummerata-jones	2736	0.2%
fraud_kutch_llc	2734	0.2%
fraud_olson,_becker_and_koch	2723	0.2%
fraud_stroman,_hudson_and_erdman	2721	0.2%
Other values (683)	1263638	97.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

category
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

gas_transport	131659
grocery_pos	123638
home	123115
shopping_pos	116672
kids_pets	113035
Other values (9)	688556

Length

Max length	14
Median length	11
Mean length	10.52607862
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	misc_net
2nd row	grocery_pos
3rd row	entertainment
4th row	gas_transport
5th row	misc_pos

Common Values

Value	Count	Frequency (%)
gas_transport	131659	10.2%
grocery_pos	123638	9.5%
home	123115	9.5%
shopping_pos	116672	9.0%
kids_pets	113035	8.7%
shopping_net	97543	7.5%
entertainment	94014	7.3%
food_dining	91461	7.1%
personal_care	90758	7.0%
health_fitness	85879	6.6%
Other values (4)	228901	17.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
gas_transport	131659	10.2%
grocery_pos	123638	9.5%
home	123115	9.5%
shopping_pos	116672	9.0%
kids_pets	113035	8.7%
shopping_net	97543	7.5%
entertainment	94014	7.3%
food_dining	91461	7.1%
personal_care	90758	7.0%
health_fitness	85879	6.6%
Other values (4)	228901	17.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amt
Real number (ℝ_≥0)

SKEWED

Distinct	52928
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.35103546

Minimum	1
Maximum	28948.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	1
5-th percentile	2.44
Q1	9.65
median	47.52
Q3	83.14
95-th percentile	196.31
Maximum	28948.9
Range	28947.9
Interquartile range (IQR)	73.49

Descriptive statistics

Standard deviation	160.3160386
Coefficient of variation (CV)	2.278801407
Kurtosis	4545.644979
Mean	70.35103546
Median Absolute Deviation (MAD)	37.5
Skewness	42.27787379
Sum	91222428.9
Variance	25701.23222
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.14	542	< 0.1%
1.04	538	< 0.1%
1.25	535	< 0.1%
1.02	533	< 0.1%
1.01	523	< 0.1%
1.05	519	< 0.1%
1.2	516	< 0.1%
1.23	515	< 0.1%
1.08	512	< 0.1%
1.11	509	< 0.1%
Other values (52918)	1291433	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	222	< 0.1%
1.01	523	< 0.1%
1.02	533	< 0.1%
1.03	499	< 0.1%
1.04	538	< 0.1%
1.05	519	< 0.1%
1.06	471	< 0.1%
1.07	498	< 0.1%
1.08	512	< 0.1%
1.09	496	< 0.1%

Value	Count	Frequency (%)
28948.9	1	< 0.1%
27390.12	1	< 0.1%
27119.77	1	< 0.1%
26544.12	1	< 0.1%
25086.94	1	< 0.1%
17897.24	1	< 0.1%
15305.95	1	< 0.1%
15047.03	1	< 0.1%
15034.18	1	< 0.1%
14849.74	1	< 0.1%

gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

F	709863
M	586812

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	F
2nd row	F
3rd row	M
4th row	M
5th row	M

Common Values

Value	Count	Frequency (%)
F	709863	54.7%
M	586812	45.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
f	709863	54.7%
m	586812	45.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

street
Categorical

HIGH CARDINALITY

Distinct	983
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

0069 Robin Brooks Apt. 695	3123
864 Reynolds Plains	3123
8172 Robertson Parkways Suite 072	3119
4664 Sanchez Common Suite 930	3117
8030 Beck Motorway	3113
Other values (978)	1281080

Length

Max length	35
Median length	22
Mean length	22.22902655
Min length	12

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	561 Perry Cove
2nd row	43039 Riley Greens Suite 393
3rd row	594 White Dale Suite 530
4th row	9443 Cynthia Court Apt. 038
5th row	408 Bradley Rest

Common Values

Value	Count	Frequency (%)
0069 Robin Brooks Apt. 695	3123	0.2%
864 Reynolds Plains	3123	0.2%
8172 Robertson Parkways Suite 072	3119	0.2%
4664 Sanchez Common Suite 930	3117	0.2%
8030 Beck Motorway	3113	0.2%
29606 Martinez Views Suite 653	3112	0.2%
1652 James Mews	3110	0.2%
854 Walker Dale Suite 488	3107	0.2%
40624 Rebecca Spurs	3106	0.2%
594 Berry Lights Apt. 392	3101	0.2%
Other values (973)	1265544	97.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
apt	327791	6.4%
suite	305467	5.9%
island	22954	0.4%
michael	18967	0.4%
common	17978	0.3%
station	17957	0.3%
islands	17917	0.3%
david	17476	0.3%
brooks	16991	0.3%
fields	16321	0.3%
Other values (1940)	4376722	84.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

city
Categorical

HIGH CARDINALITY

Distinct	894
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

Birmingham	5617
San_Antonio	5130
Utica	5105
Phoenix	5075
Meridian	5060
Other values (889)	1270688

Length

Max length	25
Median length	8
Mean length	8.652245937
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moravian_Falls
2nd row	Orient
3rd row	Malad_City
4th row	Boulder
5th row	Doe_Hill

Common Values

Value	Count	Frequency (%)
Birmingham	5617	0.4%
San_Antonio	5130	0.4%
Utica	5105	0.4%
Phoenix	5075	0.4%
Meridian	5060	0.4%
Thomas	4634	0.4%
Conway	4613	0.4%
Cleveland	4604	0.4%
Warren	4599	0.4%
Houston	4168	0.3%
Other values (884)	1248070	96.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
birmingham	5617	0.4%
san_antonio	5130	0.4%
utica	5105	0.4%
phoenix	5075	0.4%
meridian	5060	0.4%
thomas	4634	0.4%
conway	4613	0.4%
cleveland	4604	0.4%
warren	4599	0.4%
houston	4168	0.3%
Other values (884)	1248070	96.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

state
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	51
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

TX	94876
NY	83501
PA	79847
CA	56360
OH	46480
Other values (46)	935611

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NC
2nd row	WA
3rd row	ID
4th row	MT
5th row	VA

Common Values

Value	Count	Frequency (%)
TX	94876	7.3%
NY	83501	6.4%
PA	79847	6.2%
CA	56360	4.3%
OH	46480	3.6%
MI	46154	3.6%
IL	43252	3.3%
FL	42671	3.3%
AL	40989	3.2%
MO	38403	3.0%
Other values (41)	724142	55.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tx	94876	7.3%
ny	83501	6.4%
pa	79847	6.2%
ca	56360	4.3%
oh	46480	3.6%
mi	46154	3.6%
il	43252	3.3%
fl	42671	3.3%
al	40989	3.2%
mo	38403	3.0%
Other values (41)	724142	55.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

zip
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	970
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48800.6711

Minimum	1257
Maximum	99783
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	1257
5-th percentile	7208
Q1	26237
median	48174
Q3	72042
95-th percentile	94569
Maximum	99783
Range	98526
Interquartile range (IQR)	45805

Descriptive statistics

Standard deviation	26893.22248
Coefficient of variation (CV)	0.551083046
Kurtosis	-1.096449332
Mean	48800.6711
Median Absolute Deviation (MAD)	23068
Skewness	0.07968075775
Sum	6.32786102 × 10¹⁰
Variance	723245415.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
73754	3646	0.3%
34112	3613	0.3%
48088	3597	0.3%
82514	3527	0.3%
49628	3123	0.2%
15484	3123	0.2%
85173	3119	0.2%
29819	3117	0.2%
38761	3113	0.2%
5461	3112	0.2%
Other values (960)	1263585	97.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1257	2023	0.2%
1330	1031	0.1%
1535	515	< 0.1%
1545	1024	0.1%
1612	519	< 0.1%
1843	2597	0.2%
1844	2058	0.2%
2180	519	< 0.1%
2630	2090	0.2%
2908	550	< 0.1%

Value	Count	Frequency (%)
99783	1568	0.1%
99747	12	< 0.1%
99746	540	< 0.1%
99323	2572	0.2%
99160	3030	0.2%
99116	15	< 0.1%
99113	1047	0.1%
99033	2458	0.2%
98836	524	< 0.1%
98665	500	< 0.1%

lat
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	968
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.53762161

Minimum	20.0271
Maximum	66.6933
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	20.0271
5-th percentile	29.8826
Q1	34.6205
median	39.3543
Q3	41.9404
95-th percentile	45.8433
Maximum	66.6933
Range	46.6662
Interquartile range (IQR)	7.3199

Descriptive statistics

Standard deviation	5.075808439
Coefficient of variation (CV)	0.1317104748
Kurtosis	0.8129679455
Mean	38.53762161
Median Absolute Deviation (MAD)	3.3597
Skewness	-0.1860276801
Sum	49970770.51
Variance	25.76383131
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36.385	3646	0.3%
26.1184	3613	0.3%
42.5164	3597	0.3%
43.0048	3527	0.3%
39.8936	3123	0.2%
44.5995	3123	0.2%
33.2887	3119	0.2%
34.0326	3117	0.2%
33.4783	3113	0.2%
44.3346	3112	0.2%
Other values (958)	1263585	97.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20.0271	1527	0.1%
20.0827	1032	0.1%
24.6557	2584	0.2%
26.1184	3613	0.3%
26.3304	542	< 0.1%
26.3771	518	< 0.1%
26.4215	3038	0.2%
26.4722	2524	0.2%
26.529	1549	0.1%
26.6939	1027	0.1%

Value	Count	Frequency (%)
66.6933	12	< 0.1%
65.6899	540	< 0.1%
64.7556	1568	0.1%
48.8878	3030	0.2%
48.8856	2066	0.2%
48.8328	1533	0.1%
48.6669	1047	0.1%
48.6031	2973	0.2%
48.4786	2038	0.2%
48.34	3088	0.2%

long
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	969
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-90.22633538

Minimum	-165.6723
Maximum	-67.9503
Zeros	0
Zeros (%)	0.0%
Negative	1296675
Negative (%)	100.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	-165.6723
5-th percentile	-119.0825
Q1	-96.798
median	-87.4769
Q3	-80.158
95-th percentile	-73.5112
Maximum	-67.9503
Range	97.722
Interquartile range (IQR)	16.64

Descriptive statistics

Standard deviation	13.75907695
Coefficient of variation (CV)	-0.1524951323
Kurtosis	1.855892285
Mean	-90.22633538
Median Absolute Deviation (MAD)	8.1527
Skewness	-1.150107737
Sum	-116994233.4
Variance	189.3121984
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-98.0727	3646	0.3%
-81.7361	3613	0.3%
-82.9832	3597	0.3%
-108.8964	3527	0.3%
-79.7856	3123	0.2%
-86.2141	3123	0.2%
-111.0985	3119	0.2%
-82.2027	3117	0.2%
-90.5142	3113	0.2%
-73.098	3112	0.2%
Other values (959)	1263585	97.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-165.6723	1568	0.1%
-156.292	540	< 0.1%
-155.488	1032	0.1%
-155.3697	1527	0.1%
-153.994	12	< 0.1%
-124.4409	1043	0.1%
-124.2174	1547	0.1%
-124.1587	1031	0.1%
-124.1437	1526	0.1%
-123.9743	2036	0.2%

Value	Count	Frequency (%)
-67.9503	2080	0.2%
-68.5565	1014	0.1%
-69.2675	519	< 0.1%
-69.4828	2050	0.2%
-69.9576	537	< 0.1%
-69.9656	3107	0.2%
-70.1031	9	< 0.1%
-70.239	1036	0.1%
-70.3001	2090	0.2%
-70.3457	1527	0.1%

city_pop
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	879
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	88824.44056

Minimum	23
Maximum	2906700
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	23
5-th percentile	139
Q1	743
median	2456
Q3	20328
95-th percentile	525713
Maximum	2906700
Range	2906677
Interquartile range (IQR)	19585

Descriptive statistics

Standard deviation	301956.3607
Coefficient of variation (CV)	3.399473825
Kurtosis	37.6145193
Mean	88824.44056
Median Absolute Deviation (MAD)	2198
Skewness	5.593853067
Sum	1.151764315 × 10¹¹
Variance	9.117764376 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
606	5496	0.4%
1595797	5130	0.4%
1312922	5075	0.4%
1766	4574	0.4%
241	4533	0.3%
2906700	4168	0.3%
276002	4155	0.3%
302	4147	0.3%
910148	4073	0.3%
198	4067	0.3%
Other values (869)	1251257	96.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
23	2049	0.2%
37	1013	0.1%
43	2034	0.2%
46	3040	0.2%
47	511	< 0.1%
49	1054	0.1%
51	1016	0.1%
52	518	< 0.1%
53	2610	0.2%
60	1045	0.1%

Value	Count	Frequency (%)
2906700	4168	0.3%
2504700	2033	0.2%
2383912	521	< 0.1%
1595797	5130	0.4%
1577385	2563	0.2%
1526206	3517	0.3%
1417793	8	< 0.1%
1382480	2056	0.2%
1312922	5075	0.4%
1263321	3629	0.3%

job
Categorical

HIGH CARDINALITY

Distinct	494
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

Film/video editor	9779
Exhibition designer	9199
Naval architect	8684
Surveyor, land/geomatics	8680
Materials engineer	8270
Other values (489)	1252063

Length

Max length	59
Median length	19
Mean length	20.2271024
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Psychologist, counselling
2nd row	Special educational needs teacher
3rd row	Nature conservation officer
4th row	Patent attorney
5th row	Dance movement psychotherapist

Common Values

Value	Count	Frequency (%)
Film/video editor	9779	0.8%
Exhibition designer	9199	0.7%
Naval architect	8684	0.7%
Surveyor, land/geomatics	8680	0.7%
Materials engineer	8270	0.6%
Designer, ceramics/pottery	8225	0.6%
Systems developer	7700	0.6%
IT trainer	7679	0.6%
Financial adviser	7659	0.6%
Environmental consultant	7547	0.6%
Other values (484)	1213253	93.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
engineer	131756	4.6%
officer	110915	3.9%
manager	61124	2.1%
scientist	55878	1.9%
designer	52218	1.8%
surveyor	49062	1.7%
teacher	38126	1.3%
psychologist	32600	1.1%
research	29754	1.0%
editor	28725	1.0%
Other values (456)	2289024	79.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

trans_num
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	1296675
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

0b242abb623afc578575680df30655b9	1
c85864e7e7cf0be6d1b8597977b8afea	1
1a8a2a05638a5503cc6bb8d5735efcc1	1
4556eaf1f7def06eb500325cde4d054e	1
5e915d9f88bd09cee9655a470d9bc0bd	1
Other values (1296670)	1296670

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1296675 ?
Unique (%)	100.0%

Sample

1st row	0b242abb623afc578575680df30655b9
2nd row	1f76529f8574734946361c461b024d99
3rd row	a1a22d70485983eac12b5b88dad1cf95
4th row	6b849c168bdad6f867558c3793159a81
5th row	a41d7549acf90789359a9aa5346dcb46

Common Values

Value	Count	Frequency (%)
0b242abb623afc578575680df30655b9	1	< 0.1%
c85864e7e7cf0be6d1b8597977b8afea	1	< 0.1%
1a8a2a05638a5503cc6bb8d5735efcc1	1	< 0.1%
4556eaf1f7def06eb500325cde4d054e	1	< 0.1%
5e915d9f88bd09cee9655a470d9bc0bd	1	< 0.1%
4e0080ea32b67dc251ea824d55ba1f6f	1	< 0.1%
541a9a3880dae40c9e7778117adbc89f	1	< 0.1%
2c602fbe0404b65cc431b059ed167518	1	< 0.1%
6f9d22d80c0c48e238ecc484d1c64a49	1	< 0.1%
c766663cba6e1a1df3623e4f9d6472de	1	< 0.1%
Other values (1296665)	1296665	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0b242abb623afc578575680df30655b9	1	< 0.1%
c1d9a7ddb1e34639fe82758de97f4abf	1	< 0.1%
189a841a0a8ba03058526bcfe566aab5	1	< 0.1%
83ec1cc84142af6e2acf10c44949e720	1	< 0.1%
6d294ed2cc447d2c71c7171a3d54967c	1	< 0.1%
fc28024ce480f8ef21a32d64c93a29f5	1	< 0.1%
7bb25a43205191eb7344282b88fc54d3	1	< 0.1%
3b9014ea8fb80bd65de0b1463b00b00e	1	< 0.1%
3c74776e558f1499a7824b556e474b1d	1	< 0.1%
413636e759663f264aae1819a4d4f231	1	< 0.1%
Other values (1296665)	1296665	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

merch_lat
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1247805
Distinct (%)	96.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.53733804

Minimum	19.027785
Maximum	67.510267
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	19.027785
5-th percentile	29.7516534
Q1	34.733572
median	39.36568
Q3	41.957164
95-th percentile	46.0035301
Maximum	67.510267
Range	48.482482
Interquartile range (IQR)	7.223592

Descriptive statistics

Standard deviation	5.10978837
Coefficient of variation (CV)	0.1325931844
Kurtosis	0.79599391
Mean	38.53733804
Median Absolute Deviation (MAD)	3.397536
Skewness	-0.1819154297
Sum	49970402.81
Variance	26.10993718
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41.305966	4	< 0.1%
41.937796	4	< 0.1%
42.265012	4	< 0.1%
41.301611	4	< 0.1%
34.134994	4	< 0.1%
37.669788	4	< 0.1%
39.348185	4	< 0.1%
32.64469	4	< 0.1%
42.749184	4	< 0.1%
38.050673	4	< 0.1%
Other values (1247795)	1296635	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19.027785	1	< 0.1%
19.027804	1	< 0.1%
19.029798	1	< 0.1%
19.031242	1	< 0.1%
19.032277	1	< 0.1%
19.033288	1	< 0.1%
19.034282	1	< 0.1%
19.034687	1	< 0.1%
19.035472	1	< 0.1%
19.036312	1	< 0.1%

Value	Count	Frequency (%)
67.510267	1	< 0.1%
67.441518	1	< 0.1%
67.397018	1	< 0.1%
67.188111	1	< 0.1%
67.064277	1	< 0.1%
66.835174	1	< 0.1%
66.682905	1	< 0.1%
66.67355	1	< 0.1%
66.664673	1	< 0.1%
66.659242	1	< 0.1%

merch_long
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1275745
Distinct (%)	98.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-90.2264648

Minimum	-166.671242
Maximum	-66.950902
Zeros	0
Zeros (%)	0.0%
Negative	1296675
Negative (%)	100.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	-166.671242
5-th percentile	-119.3300916
Q1	-96.8972755
median	-87.438392
Q3	-80.2367965
95-th percentile	-73.3542179
Maximum	-66.950902
Range	99.72034
Interquartile range (IQR)	16.660479

Descriptive statistics

Standard deviation	13.77109056
Coefficient of variation (CV)	-0.1526280631
Kurtosis	1.848479176
Mean	-90.2264648
Median Absolute Deviation (MAD)	8.227889
Skewness	-1.146959945
Sum	-116994401.2
Variance	189.6429353
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-87.116414	4	< 0.1%
-81.219189	4	< 0.1%
-74.618269	4	< 0.1%
-85.326323	3	< 0.1%
-84.890305	3	< 0.1%
-88.49309	3	< 0.1%
-84.100102	3	< 0.1%
-97.527227	3	< 0.1%
-85.3444	3	< 0.1%
-86.037494	3	< 0.1%
Other values (1275735)	1296642	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-166.671242	1	< 0.1%
-166.670132	1	< 0.1%
-166.669638	1	< 0.1%
-166.666179	1	< 0.1%
-166.664828	1	< 0.1%
-166.662888	1	< 0.1%
-166.661968	1	< 0.1%
-166.659277	1	< 0.1%
-166.657834	1	< 0.1%
-166.657174	1	< 0.1%

Value	Count	Frequency (%)
-66.950902	1	< 0.1%
-66.955996	1	< 0.1%
-66.95654	1	< 0.1%
-66.958659	1	< 0.1%
-66.958751	1	< 0.1%
-66.959178	1	< 0.1%
-66.961923	1	< 0.1%
-66.962913	1	< 0.1%
-66.963918	1	< 0.1%
-66.963975	1	< 0.1%

is_fraud
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

0	1289169
1	7506

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1289169	99.4%
1	7506	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1289169	99.4%
1	7506	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

name
Categorical

HIGH CARDINALITY

Distinct	973
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

Scott Martin	4618
Jeffrey Smith	3592
Barbara Taylor	3123
Monica Cohen	3123
Jessica Perez	3119
Other values (968)	1279100

Length

Max length	21
Median length	13
Mean length	13.19160931
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Jennifer Banks
2nd row	Stephanie Gill
3rd row	Edward Sanchez
4th row	Jeremy White
5th row	Tyler Garcia

Common Values

Value	Count	Frequency (%)
Scott Martin	4618	0.4%
Jeffrey Smith	3592	0.3%
Barbara Taylor	3123	0.2%
Monica Cohen	3123	0.2%
Jessica Perez	3119	0.2%
Ana Howell	3117	0.2%
Keith Sanders	3113	0.2%
Christine Harris	3112	0.2%
Tammy Ayers	3110	0.2%
Mark Wood	3107	0.2%
Other values (963)	1263541	97.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
smith	28794	1.1%
christopher	26669	1.0%
williams	23605	0.9%
james	22073	0.9%
davis	21910	0.8%
robert	21667	0.8%
jessica	20581	0.8%
johnson	20034	0.8%
michael	20009	0.8%
david	19965	0.8%
Other values (796)	2368043	91.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

coords_ori
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

coords_merch
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

trans_year
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 MiB

2019	924850
2020	371825

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2019
2nd row	2019
3rd row	2019
4th row	2019
5th row	2019

Common Values

Value	Count	Frequency (%)
2019	924850	71.3%
2020	371825	28.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2019	924850	71.3%
2020	371825	28.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

trans_month
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.142149729

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.417703308
Coefficient of variation (CV)	0.5564343852
Kurtosis	-1.04754632
Mean	6.142149729
Median Absolute Deviation (MAD)	3
Skewness	0.298515751
Sum	7964372
Variance	11.6806959
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
5	146875	11.3%
6	143811	11.1%
3	143789	11.1%
12	141060	10.9%
4	134970	10.4%
1	104727	8.1%
2	97657	7.5%
8	87359	6.7%
7	86596	6.7%
9	70652	5.4%
Other values (2)	139179	10.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	104727	8.1%
2	97657	7.5%
3	143789	11.1%
4	134970	10.4%
5	146875	11.3%
6	143811	11.1%
7	86596	6.7%
8	87359	6.7%
9	70652	5.4%
10	68758	5.3%

Value	Count	Frequency (%)
12	141060	10.9%
11	70421	5.4%
10	68758	5.3%
9	70652	5.4%
8	87359	6.7%
7	86596	6.7%
6	143811	11.1%
5	146875	11.3%
4	134970	10.4%
3	143789	11.1%

trans_week
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	52
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.71640002

Minimum	1
Maximum	52
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.9 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	13
median	23
Q3	36
95-th percentile	50
Maximum	52
Range	51
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	14.82039325
Coefficient of variation (CV)	0.5996177937
Kurtosis	-1.011118764
Mean	24.71640002
Median Absolute Deviation (MAD)	11
Skewness	0.3086148525
Sum	32049138
Variance	219.6440561
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24	39824	3.1%
23	39508	3.0%
22	39465	3.0%
25	37594	2.9%
21	34093	2.6%
12	32014	2.5%
14	31874	2.5%
10	31843	2.5%
16	31834	2.5%
15	31776	2.5%
Other values (42)	946850	73.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	27187	2.1%
2	24072	1.9%
3	24108	1.9%
4	23745	1.8%
5	24027	1.9%
6	23834	1.8%
7	23903	1.8%
8	24012	1.9%
9	26779	2.1%
10	31843	2.5%

Value	Count	Frequency (%)
52	31281	2.4%
51	31360	2.4%
50	31606	2.4%
49	31570	2.4%
48	21677	1.7%
47	15720	1.2%
46	15679	1.2%
45	15828	1.2%
44	15968	1.2%
43	15933	1.2%

trans_day
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.58797848

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	15
Q3	23
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.829121359
Coefficient of variation (CV)	0.5664057959
Kurtosis	-1.187141658
Mean	15.58797848
Median Absolute Deviation (MAD)	8
Skewness	0.03084736374
Sum	20212542
Variance	77.95338397
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	47089	3.6%
15	46213	3.6%
8	46201	3.6%
16	44894	3.5%
2	44748	3.5%
9	44685	3.4%
7	44239	3.4%
14	44015	3.4%
28	43470	3.4%
17	42272	3.3%
Other values (21)	848849	65.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	47089	3.6%
2	44748	3.5%
3	41842	3.2%
4	41479	3.2%
5	41886	3.2%
6	41420	3.2%
7	44239	3.4%
8	46201	3.6%
9	44685	3.4%
10	41934	3.2%

Value	Count	Frequency (%)
31	24701	1.9%
30	41019	3.2%
29	39617	3.1%
28	43470	3.4%
27	39684	3.1%
26	40692	3.1%
25	40374	3.1%
24	41360	3.2%
23	40815	3.1%
22	42061	3.2%

trans_hour
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.80485781

Minimum	0
Maximum	23
Zeros	42502
Zeros (%)	3.3%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	7
median	14
Q3	19
95-th percentile	23
Maximum	23
Range	23
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	6.817823899
Coefficient of variation (CV)	0.5324404223
Kurtosis	-1.079580292
Mean	12.80485781
Median Absolute Deviation (MAD)	5
Skewness	-0.2828254537
Sum	16603739
Variance	46.48272272
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
23	67104	5.2%
22	66982	5.2%
18	66051	5.1%
16	65726	5.1%
21	65533	5.1%
19	65508	5.1%
17	65450	5.0%
15	65391	5.0%
13	65314	5.0%
12	65257	5.0%
Other values (14)	638359	49.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	42502	3.3%
1	42869	3.3%
2	42656	3.3%
3	42769	3.3%
4	41863	3.2%
5	42171	3.3%
6	42300	3.3%
7	42203	3.3%
8	42505	3.3%
9	42185	3.3%

Value	Count	Frequency (%)
23	67104	5.2%
22	66982	5.2%
21	65533	5.1%
20	65098	5.0%
19	65508	5.1%
18	66051	5.1%
17	65450	5.0%
16	65726	5.1%
15	65391	5.0%
14	64885	5.0%

trans_minute
Real number (ℝ_≥0)

ZEROS

Distinct	60
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.49528525

Minimum	0
Maximum	59
Zeros	21372
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	14
median	30
Q3	44
95-th percentile	57
Maximum	59
Range	59
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	17.32017992
Coefficient of variation (CV)	0.5872185935
Kurtosis	-1.200804645
Mean	29.49528525
Median Absolute Deviation (MAD)	15
Skewness	-0.000393712934
Sum	38245799
Variance	299.9886324
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40	21918	1.7%
1	21867	1.7%
7	21827	1.7%
59	21803	1.7%
3	21797	1.7%
14	21783	1.7%
36	21779	1.7%
51	21777	1.7%
27	21763	1.7%
4	21748	1.7%
Other values (50)	1078613	83.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	21372	1.6%
1	21867	1.7%
2	21718	1.7%
3	21797	1.7%
4	21748	1.7%
5	21505	1.7%
6	21490	1.7%
7	21827	1.7%
8	21586	1.7%
9	21512	1.7%

Value	Count	Frequency (%)
59	21803	1.7%
58	21511	1.7%
57	21651	1.7%
56	21496	1.7%
55	21474	1.7%
54	21525	1.7%
53	21530	1.7%
52	21560	1.7%
51	21777	1.7%
50	21612	1.7%

trans_dayofweek
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.070603659

Minimum	0
Maximum	6
Zeros	254282
Zeros (%)	19.6%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.198152555
Coefficient of variation (CV)	0.7158698414
Kurtosis	-1.445048986
Mean	3.070603659
Median Absolute Deviation (MAD)	2
Skewness	-0.07845304063
Sum	3981575
Variance	4.831874654
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	254282	19.6%
6	250579	19.3%
5	200957	15.5%
1	160227	12.4%
4	152272	11.7%
3	147285	11.4%
2	131073	10.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	254282	19.6%
1	160227	12.4%
2	131073	10.1%
3	147285	11.4%
4	152272	11.7%
5	200957	15.5%
6	250579	19.3%

Value	Count	Frequency (%)
6	250579	19.3%
5	200957	15.5%
4	152272	11.7%
3	147285	11.4%
2	131073	10.1%
1	160227	12.4%
0	254282	19.6%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	83
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.02929801

Minimum	14
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	14
5-th percentile	22
Q1	33
median	44
Q3	57
95-th percentile	80
Maximum	96
Range	82
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	17.38237262
Coefficient of variation (CV)	0.3776371436
Kurtosis	-0.1760038548
Mean	46.02929801
Median Absolute Deviation (MAD)	12
Skewness	0.6122620439
Sum	59685040
Variance	302.1468781
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
47	41337	3.2%
35	39331	3.0%
34	35816	2.8%
32	35588	2.7%
33	33430	2.6%
45	33098	2.6%
48	32719	2.5%
46	32212	2.5%
44	31035	2.4%
43	30528	2.4%
Other values (73)	951581	73.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
14	1318	0.1%
15	5817	0.4%
16	5104	0.4%
17	1191	0.1%
18	3901	0.3%
19	8203	0.6%
20	16326	1.3%
21	14915	1.2%
22	24536	1.9%
23	13209	1.0%

Value	Count	Frequency (%)
96	138	< 0.1%
95	398	< 0.1%
94	1722	0.1%
93	5684	0.4%
92	4450	0.3%
91	4824	0.4%
90	5443	0.4%
89	3916	0.3%
88	3843	0.3%
87	2364	0.2%

distance
Real number (ℝ_≥0)

UNIQUE

Distinct	1296675
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	76.11247932

Minimum	0.02227351335
Maximum	151.8682002
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.9 MiB

Quantile statistics

Minimum	0.02227351335
5-th percentile	24.74989046
Q1	55.357839
median	78.26335343
Q3	98.46834751
95-th percentile	120.4487172
Maximum	151.8682002
Range	151.8459267
Interquartile range (IQR)	43.11050851

Descriptive statistics

Standard deviation	29.0926998
Coefficient of variation (CV)	0.3822329802
Kurtosis	-0.6310697847
Mean	76.11247932
Median Absolute Deviation (MAD)	21.43870913
Skewness	-0.2382690705
Sum	98693149.12
Variance	846.3851815
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78.77382075	1	< 0.1%
85.45067088	1	< 0.1%
73.47625337	1	< 0.1%
130.2186198	1	< 0.1%
76.57205232	1	< 0.1%
82.91820881	1	< 0.1%
90.01945001	1	< 0.1%
85.98537944	1	< 0.1%
77.8908601	1	< 0.1%
59.78779235	1	< 0.1%
Other values (1296665)	1296665	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.02227351335	1	< 0.1%
0.06673123416	1	< 0.1%
0.09405772594	1	< 0.1%
0.1133855774	1	< 0.1%
0.1371995071	1	< 0.1%
0.1538761904	1	< 0.1%
0.2004959165	1	< 0.1%
0.2030157483	1	< 0.1%
0.2218462287	1	< 0.1%
0.2511567388	1	< 0.1%

Value	Count	Frequency (%)
151.8682002	1	< 0.1%
150.5801916	1	< 0.1%
149.6101271	1	< 0.1%
149.2055714	1	< 0.1%
148.6236717	1	< 0.1%
148.5283365	1	< 0.1%
148.4270844	1	< 0.1%
148.0349077	1	< 0.1%
147.9646726	1	< 0.1%
147.9550441	1	< 0.1%

amt_group
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

above_medium	324151
medium	324087
low	194530
high	194454
very_low	129795

Length

Max length	12
Median length	6
Mean length	7.250098907
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	low
2nd row	high
3rd row	very_high
4th row	medium
5th row	medium

Common Values

Value	Count	Frequency (%)
above_medium	324151	25.0%
medium	324087	25.0%
low	194530	15.0%
high	194454	15.0%
very_low	129795	10.0%
very_high	129658	10.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
above_medium	324151	25.0%
medium	324087	25.0%
low	194530	15.0%
high	194454	15.0%
very_low	129795	10.0%
very_high	129658	10.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

age_group
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	1318
Missing (%)	0.1%
Memory size	1.2 MiB

24_34	278361
34_44	271553
44_54	269899
54_64	163629
below_24	109603
Other values (4)	202312

Length

Max length	8
Median length	5
Mean length	5.255077944
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	24_34
2nd row	34_44
3rd row	54_64
4th row	44_54
5th row	24_34

Common Values

Value	Count	Frequency (%)
24_34	278361	21.5%
34_44	271553	20.9%
44_54	269899	20.8%
54_64	163629	12.6%
below_24	109603	8.5%
64_74	104141	8.0%
74_84	57671	4.4%
84_94	39964	3.1%
above_94	536	< 0.1%
(Missing)	1318	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
24_34	278361	21.5%
34_44	271553	21.0%
44_54	269899	20.8%
54_64	163629	12.6%
below_24	109603	8.5%
64_74	104141	8.0%
74_84	57671	4.5%
84_94	39964	3.1%
above_94	536	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	trans_datetime	cc_num	merchant	category	amt	gender	street	city	state	zip	lat	long	city_pop	job	trans_num	merch_lat	merch_long	name	coords_ori	coords_merch	trans_year	trans_month	trans_week	trans_day	trans_minute	trans_dayofweek	age	distance	amt_group	age_group
0	2019-01-01 00:00:18	2703186189652095	fraud_Rippin,_Kub_and_Mann	misc_net	4.97	F	561 Perry Cove	Moravian_Falls	NC	28654	36.0788	-81.1781	3495	Psychologist, counselling	0b242abb623afc578575680df30655b9	36.011293	-82.048315	Jennifer Banks	(36.0788, -81.1781)	(36.011293, -82.048315)	2019	1	1	1	0	1	31	78.773821	low	24_34
1	2019-01-01 00:00:44	630423337322	fraud_Heller,_Gutmann_and_Zieme	grocery_pos	107.23	F	43039 Riley Greens Suite 393	Orient	WA	99160	48.8878	-118.2105	149	Special educational needs teacher	1f76529f8574734946361c461b024d99	49.159047	-118.186462	Stephanie Gill	(48.8878, -118.2105)	(49.159047, -118.186462)	2019	1	1	1	0	1	41	30.216618	high	34_44
2	2019-01-01 00:00:51	38859492057661	fraud_Lind-Buckridge	entertainment	220.11	M	594 White Dale Suite 530	Malad_City	ID	83252	42.1808	-112.2620	4154	Nature conservation officer	a1a22d70485983eac12b5b88dad1cf95	43.150704	-112.154481	Edward Sanchez	(42.1808, -112.262)	(43.150704, -112.154481)	2019	1	1	1	0	1	57	108.102912	very_high	54_64
3	2019-01-01 00:01:16	3534093764340240	fraud_Kutch,_Hermiston_and_Farrell	gas_transport	45.00	M	9443 Cynthia Court Apt. 038	Boulder	MT	59632	46.2306	-112.1138	1939	Patent attorney	6b849c168bdad6f867558c3793159a81	47.034331	-112.561071	Jeremy White	(46.2306, -112.1138)	(47.034331, -112.561071)	2019	1	1	1	1	1	52	95.685115	medium	44_54
4	2019-01-01 00:03:06	375534208663984	fraud_Keeling-Crist	misc_pos	41.96	M	408 Bradley Rest	Doe_Hill	VA	24433	38.4207	-79.4629	99	Dance movement psychotherapist	a41d7549acf90789359a9aa5346dcb46	38.674999	-78.632459	Tyler Garcia	(38.4207, -79.4629)	(38.674999, -78.632459)	2019	1	1	1	3	1	33	77.702395	medium	24_34
5	2019-01-01 00:04:08	4767265376804500	fraud_Stroman,_Hudson_and_Erdman	gas_transport	94.63	F	4655 David Island	Dublin	PA	18917	40.3750	-75.2045	2158	Transport planner	189a841a0a8ba03058526bcfe566aab5	40.653382	-76.152667	Jennifer Conner	(40.375, -75.2045)	(40.653382, -76.15266700000001)	2019	1	1	1	4	1	58	86.097358	high	54_64
6	2019-01-01 00:04:42	30074693890476	fraud_Rowe-Vandervort	grocery_net	44.54	F	889 Sarah Station Suite 624	Holcomb	KS	67851	37.9931	-100.9893	2691	Arboriculturist	83ec1cc84142af6e2acf10c44949e720	37.162705	-100.153370	Kelsey Richards	(37.9931, -100.9893)	(37.162705, -100.15337)	2019	1	1	1	4	1	26	118.094855	medium	24_34
7	2019-01-01 00:05:08	6011360759745864	fraud_Corwin-Collins	gas_transport	71.65	M	231 Flores Pass Suite 720	Edinburg	VA	22824	38.8432	-78.6003	6018	Designer, multimedia	6d294ed2cc447d2c71c7171a3d54967c	38.948089	-78.540296	Steven Williams	(38.8432, -78.6003)	(38.948089, -78.540296)	2019	1	1	1	5	1	72	12.754714	above_medium	64_74
8	2019-01-01 00:05:18	4922710831011201	fraud_Herzog_Ltd	misc_pos	4.27	F	6888 Hicks Stream Suite 954	Manor	PA	15665	40.3359	-79.6607	1472	Public affairs consultant	fc28024ce480f8ef21a32d64c93a29f5	40.351813	-79.958146	Heather Chase	(40.3359, -79.6607)	(40.351813, -79.958146)	2019	1	1	1	5	1	78	25.333883	low	74_84
9	2019-01-01 00:06:01	2720830304681674	fraud_Schoen,_Kuphal_and_Nitzsche	grocery_pos	198.39	F	21326 Taylor Squares Suite 708	Clarksville	TN	37040	36.5220	-87.3490	151785	Pathologist	3b9014ea8fb80bd65de0b1463b00b00e	37.179198	-87.485381	Melissa Aguilar	(36.522, -87.34899999999999)	(37.179198, -87.485381)	2019	1	1	1	6	1	45	73.939714	very_high	44_54

Last rows

	trans_datetime	cc_num	merchant	category	amt	gender	street	city	state	zip	lat	long	city_pop	job	trans_num	merch_lat	merch_long	name	coords_ori	coords_merch	trans_year	trans_month	trans_week	trans_day	trans_hour	trans_minute	trans_dayofweek	age	distance	amt_group	age_group
1296665	2020-06-21 12:08:42	213193596103206	fraud_Gulgowski_LLC	home	72.17	M	7369 Gabriel Tunnel	Pointe_Aux_Pins	MI	49775	45.7549	-84.4470	95	Electrical engineer	108c103b26f686c24c021aaf4210977e	44.938461	-83.996234	James Hunt	(45.7549, -84.447)	(44.938461, -83.996234)	2020	6	25	21	12	8	6	26	97.371601	above_medium	24_34
1296666	2020-06-21 12:09:22	4587657402165341815	fraud_Hyatt,_Russel_and_Gleichner	health_fitness	7.30	F	6296 John Keys Suite 858	Pembroke_Township	IL	60958	41.0646	-87.5917	2135	Psychotherapist, child	37a18c6fb0c5c722b6339ffedc82f55a	40.556811	-88.092339	Amber Lewis	(41.0646, -87.5917)	(40.556811, -88.092339)	2020	6	25	21	12	9	6	16	70.456765	low	below_24
1296667	2020-06-21 12:10:56	4822367783500458	fraud_Hahn,_Douglas_and_Schowalter	travel	19.71	M	97070 Anderson Land	Haines_City	FL	33844	28.0758	-81.5929	33804	Exercise physiologist	34e72e0a659a6c8f4a20ee65594f3a7d	27.465871	-81.511804	Christopher Farrell	(28.0758, -81.5929)	(27.465871000000003, -81.511804)	2020	6	25	21	12	10	6	29	68.060786	medium	24_34
1296668	2020-06-21 12:11:23	213141712584544	fraud_Metz,_Russel_and_Metz	kids_pets	100.85	F	742 Oneill Shore	Florence	MS	39073	32.1530	-90.1217	19685	Fine artist	0d86d8c17638d7eff77db9c6a878b477	31.377697	-90.528450	Margaret Curtis	(32.153, -90.1217)	(31.377697, -90.52845)	2020	6	25	21	12	11	6	36	94.208072	high	34_44
1296669	2020-06-21 12:11:36	4400011257587661852	fraud_Stiedemann_Inc	misc_pos	37.38	F	474 Allen Haven	North_Loup	NE	68859	41.4972	-98.7858	509	Nurse, children's	9a7ea2625cf8303efe34e3c09546868f	41.728638	-99.039660	Marissa Powell	(41.4972, -98.7858)	(41.728638, -99.03966)	2020	6	25	21	12	11	6	40	33.293541	medium	34_44
1296670	2020-06-21 12:12:08	30263540414123	fraud_Reichel_Inc	entertainment	15.56	M	162 Jessica Row Apt. 072	Hatch	UT	84735	37.7175	-112.4777	258	Geoscientist	440b587732da4dc1a6395aba5fb41669	36.841266	-111.690765	Erik Patterson	(37.7175, -112.4777)	(36.841266, -111.69076499999998)	2020	6	25	21	12	12	6	59	119.696415	medium	54_64
1296671	2020-06-21 12:12:19	6011149206456997	fraud_Abernathy_and_Sons	food_dining	51.70	M	8617 Holmes Terrace Suite 651	Tuscarora	MD	21790	39.2667	-77.5101	100	Production assistant, television	278000d2e0d2277d1de2f890067dcc0a	38.906881	-78.246528	Jeffrey White	(39.2667, -77.5101)	(38.906881, -78.246528)	2020	6	25	21	12	12	6	41	75.202184	above_medium	34_44
1296672	2020-06-21 12:12:32	3514865930894695	fraud_Stiedemann_Ltd	food_dining	105.93	M	1632 Cohen Drive Suite 639	High_Rolls_Mountain_Park	NM	88325	32.9396	-105.8189	899	Naval architect	483f52fe67fabef353d552c1e662974c	33.619513	-105.130529	Christopher Castaneda	(32.9396, -105.8189)	(33.619513, -105.130529)	2020	6	25	21	12	12	6	53	98.987927	high	44_54
1296673	2020-06-21 12:13:36	2720012583106919	fraud_Reinger,_Weissnat_and_Strosin	food_dining	74.90	M	42933 Ryan Underpass	Manderson	SD	57756	43.3526	-102.5411	1126	Volunteer coordinator	d667cdcbadaaed3da3f4020e83591c83	42.788940	-103.241160	Joseph Murray	(43.3526, -102.5411)	(42.78894, -103.24116)	2020	6	25	21	12	13	6	40	84.688356	above_medium	34_44
1296674	2020-06-21 12:13:37	4292902571056973207	fraud_Langosh,_Wintheiser_and_Hyatt	food_dining	4.30	M	135 Joseph Mountains	Sula	MT	59871	45.8433	-113.8748	218	Therapist, horticultural	8f7c8e4ab7f25875d753b422917c98c9	46.565983	-114.186110	Jeffrey Smith	(45.8433, -113.8748)	(46.565983, -114.18611)	2020	6	25	21	12	13	6	25	83.845902	low	24_34

Overview

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